NVIDIA Collaborates With Quanta To Develop Deep-Learning GPU

Nvidia continues to push the boundaries of its GPUs. Its recent Pascal-architecture GPUs have been successful. Nvidia looks to further build on its Pascal-architecture core to build graphics cards that will have more features.

According to DigiTimes the new Pascal-based Tesla P4 and P40 graphics cards would be able to detect and sense images as well as texts and voices. The new GPUs will also have better performance and response times. The two new graphics cards have been presented at the recent GPU Technology Conference in Taiwan.

Nvidia has also formed partnerships with some Taiwanese companies. One of these is Quanta Computer. Its partnership with Quanta involves developing deep-learning graphics cards. Quanta and Nvidia have developed 1U to 4U GPU-based servers and the DGX-1 super computer.

The GPU-based servers are designed to learn, see and simulate our world, as DABCC reports. Nvidia isn't just making graphics cards for gaming. The tech company is developing GPUs to assist in making powerful artificial intelligence for some of the top research labs as well.

Nvidia's site states that Quanta would be the first to offer systems that would be able to connect processors to exchange data 12 times faster than PCI-e. The new GPUs presented at GTC Taiwan would be able to help in the deep-learning program that Nvidia has developed together with Quanta.

Other features from GTC Taiwan include sessions that talked about deep learning. Also from GTC Taiwan is the Deep Learning Institute which is a hands-on lab for developers to learn deep learning techniques.

A robotics challenge participated in by 10 Taiwanese universities was also held at the event. There was also an Emerging Companies Summit where nine new companies were on hand to demonstrate how they would use graphics cards for AI.

Nvidia continues to move forward with its intuitive graphics cards based on the Pascal architecture. The new graphics cards presented offer new ways that GPUs can be used in an AI environment. Graphics cards will have more uses as its technology advances even further.

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